class_docstr: Benchmarks 3 different fake quantize per tensor operators.
code: def forward(
      self, input, scale, zero_point, quant_min: int, quant_max: int
  ):
      return self.op_func(
          input, scale, zero_point, quant_min, quant_max
      )
  
imports: import torch
  import torch.ao.nn.quantized
  import torch.ao.quantization
  import torch.nn
  import operator_benchmark
label_desc: Use image node_id 2 for calling the FakeQuantizePerTensorBaseOpBenchmark obj's underlying member method code with example usage: obj.forward(input, scale, zero_point, quant_min, quant_max) and returns: self